Data processing method and distributed storage system

A data processing method, applied to a distributed storage system, wherein the distributed storage system comprises at least one processing node and at least two storage nodes, and storage disks of the at least two storage nodes comprise at least two storage disk clusters, wherein the at least two storage disk clusters are configured with at least two energy saving states, and a processing module is deployed on the at least one processing node;

• and the data processing method comprises:
• receiving, by the processing module, a read request comprising an identifier of to-be-processed data, wherein the to-be-processed data is stored in the at least two storage nodes, and the to-be-processed data comprises first sub-data and second sub-data;
• reading, by the processing module, metadata of the to-be-processed data based on the identifier of the to-be-processed data, to determine a first storage disk cluster and a second storage disk cluster, wherein the first storage disk cluster comprises storage disks that are in the at least two storage nodes and that store the first sub-data, the second storage disk cluster comprises storage disks that are in the at least two storage nodes and that store the second sub-data, the first storage disk cluster is configured with a first energy saving state, the second storage disk cluster is configured with a second energy saving state, and a wakeup latency of the first energy saving state is shorter than a wakeup latency of the second energy saving state;
• and
• reading, by the processing module, the first sub-data from the first storage disk cluster, and after the first sub-data is read, reading the second sub-data from the second storage disk cluster.